This course introduces state-of-the-art techniques for automated analysis. Automated analysis encompasses both approaches to automatically generate a very large number of tests to check whether programs meet requirements, and also means by which it is possible to *prove* that software meets requirements and that it is free from certain commonly-occurring defects, such as divide-by-zero, overflow/underflow, deadlock, race-condition freedom, buffer/array overflow, uncaught exceptions, and several other commonly-occurring bugs that can lead to program failures or security problems. The learner will become familiar with the fundamental theory and applications of such approaches, and apply a variety of automated analysis techniques on example programs.
Этот курс входит в специализацию ''Специализация Software Testing and Automation'
от партнера
Специализация Software Testing and AutomationМиннесотский университетОб этом курсе
IDE installed (e.g., Eclipse). Familiar with testing terminology and practice (see previous courses in specialization).
Приобретаемые навыки
IDE installed (e.g., Eclipse). Familiar with testing terminology and practice (see previous courses in specialization).
от партнера
Миннесотский университет
The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
Программа курса: что вы изучите
Introduction to Automated Analysis
In this module we will learn about a range of techniques for analysis of programs and methods to automate testing. Along the way we will learn how to specify properties of interest to check about a program and capture assumptions about the environment for effective testing. To reinforce some of the important concepts learned we will practice automated testing using effective tools on a concrete example.
Automated Test Generation
The focus of this module is to understand how various techniques can help us automate the generation of useful and numerous tests. We will examine ways to specify and use properties of the system and the environment to guide the generation of test data.
Static Analysis
The goal of this module is to introduce the learner to the principles of statically analyzing programs, understand how analysis techniques work by looking at some example analyses, and some good practices to follow when designing programs to enable the tools to help us detect and avoid defects. The learner will gain an understanding of using static analysis tools by looking at one concrete tool.
Effective Automated Verification
This module will examine how to use effective automation techniques for a variety of purposes such as performing effective regression testing, discovering security vulnerabilities and monitoring software at run-time for critical properties.
Рецензии
Лучшие отзывы о курсе INTRODUCTION TO AUTOMATED ANALYSIS
Muy bueno!, seria interesante ver mas demostraciones con herramientas.
Специализация Software Testing and Automation: общие сведения
This Specialization is intented for beginning to intermediate software developers seeking to develop knowledge and skill in implementing testing techniques and tools in the development of their projects. Through four courses, you will cover black-box and white-box testing, automated testing, web & mobile testing, and formal testing theory and techniques, which will prepare to you to plan and perform effective testing of your software.
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